An association study exploring the genetic relationship of psoriatic arthritis and obesity
Bibliographic record
Abstract
Objective: To determine if there is a genetic component causing psoriatic arthritis (PsA) patients to have higher BMIs when compared to the general population. Method: 696 obese samples were identified from a previous genetic study on obesity which were genotyped using a PsA SNP panel. 650 PsA patients who were examined for PsA related anthropometric measures were genotyped using an obesity SNP panel. An obesity panel was created using a gene prioritization method to create a 46 SNP obesity-weighted panel. Two separate quantitative trait analyses were performed to obtain the association between BMI and genotype of the subsequent panels using a linear regression model. Bonferroni correction was used to adjust for multiple comparisons. Results: Genotypes of two PsA-weighted SNPs, rs10782001 (FBXL19) and rs3131382 (HLA-B*39), showed a significant difference with BMI. Patients with the FBXL19 variant had an average BMI in the presence of GG genotype of 37.2 kg/m² vs 34.3 kg/m² for the AA genotype (p=0.0007). Patients with the HLA-B*39:05 variant had an average BMI with the TT genotype of 47.1 kg/m2 vs 35.4 kg/m² for the CC genotype (p=0.00005). One obesity-weighted SNP, rs11915371 (SAMMSON/FOXP1), showed a significant difference of BMI between genotypes in PsA patients. The average BMI of those with the CC genotype was 32.42 kg/m² compared to an average BMI of 29.77 kg/m² with the TT genotype (p=0.0009). Conclusion: Homozygotes for the minor allele of SNPs within HLA-B*39, FBXL19, and SAMMSON/FOXP1 have shown to have an increased BMI, suggesting a potential genetic link between these genes and PsA and obesity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".